Simultaneous Wireless Information and Power Transfer Solutions for Energy-Harvesting Fairness in Cognitive Multicast Systems

Pham-Viet TUAN  Insoo KOO  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E101-A   No.11   pp.1988-1992
Publication Date: 2018/11/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E101.A.1988
Type of Manuscript: LETTER
Category: Mobile Information Network and Personal Communications
simultaneous wireless information and power transfer (SWIPT),  semidefinite relaxation (SDR),  majorization-minimization (MM),  sequential parametric convex approximation (SPCA),  cognitive radio system,  

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In this letter, we consider the harvested-energy fairness problem in cognitive multicast systems with simultaneous wireless information and power transfer. In the cognitive multicast system, a cognitive transmitter with multi-antenna sends the same information to cognitive users in the presence of licensed users, and cognitive users can decode information and harvest energy with a power-splitting structure. The harvested-energy fairness problem is formulated and solved by using two proposed algorithms, which are based on semidefinite relaxation with majorization-minimization method, and sequential parametric convex approximation with feasible point pursuit technique, respectively. Finally, the performances of the proposed solutions and baseline schemes are verified by simulation results.